Panels
AI for Communications in Challenging Dynamic Wireless Environments
Date & Time: Thursday, June 18, 14:15 - 15:00
Modern application areas, such as factory-of-the-future, drones/UAVs and vehicular networks, demand ultralow-latency reliable communications in dynamic wireless environments. As we are facing the failure of classical MMSE and LS estimators to remain accurate as channel conditions shift rapidly, and as pilot overhead becomes prohibitive in massive MIMO systems, approaches that leverage complex physics-informed AI systems are starting to appear. Questions such as generalization of Large AI Models (LAMs) across environments, online adaptation through multimodal prompts, real-time large scale optimization of beamforming and reflective intelligent surfaces, optimization of integrated sensing and communications (ISAC), robustness and trust, are among many open problems that motivate research in today's wireless communications. This panel brings together leading researchers to debate the promises and pitfalls of AI-native wireless systems in dynamic environments — weighing benefits against risks and data-driven flexibility against physical tractability — and to situate this disruption within the broader historical arc of wireless communications research.
Prof. Wolfgang Gerstacker
Prof. Silvija Kokalj-Filipovic
Prof. Ian Akyildiz
Prof. Danijela Cabric
Prof. Georgios Giannakis
Establishing a Regional Partnership in AI-driven Healthcare Research
Date & Time: Friday, June 19, 10:45-11:30
The panel aims at initiating a regional partnership to leverage AI for advanced healthcare research, with a focus on data harmonization, optimal storage and sharing of genetic data, interoperability, and collaborative innovation. It will discuss how AI and modern communication technologies can be applied to enhance research outcomes, including training models on aggregated datasets and enabling predictive analytics for healthcare applications. It will explore opportunities for integration into larger regional or European data networks, and plans for long-term data reuse to maximize scientific impact.
Gordana Gardasevic
Gordana Gardasevic
Tatjana Lončar Turukalo
Ioanna Chouvarda
Andrej Mihailović